The large model API platform provides interfaces for text, inference, multimodality, and tool calls, serving as a fundamental service for developing AI products. Pages compare model lineages, context, structured outputs, function calls, rate limits, caching, batch processing, regional compliance, and pricing, helping teams control vendors and operational risks.
Meta Llama is an open-source large language model and generative AI platform for developers and enterprises, providing a downloadable model family and supporting tools for easy deployment and integration in on-premises, private, or cloud environments. Meta Llama is suitable for AI programming and intelligent application development: it supports text and multimodal understanding generation, and can be used to build chat assistants, code generation, Q&A, content creation, and workflow automation; At the same time, it supports model fine-tuning and inference optimization, helping teams build exclusive model capabilities based on industry data and business rules. Through official developer tools and interfaces, Meta Llama can access products and services faster, improving R&D efficiency and application implementation speed.
Meitu AI Open Platform is an AI vision algorithm service platform launched by Meitu, providing stable API and SDK capabilities for enterprises and developers, covering core scenarios such as image generation, image processing, and image recognition. The platform supports e-commerce design capabilities such as Wensheng Diagram, Tushengtu, Partial Repainting, Picture Expansion, AI Product Map and AI Poster, and provides image processing interfaces such as intelligent cutout, lossless enlargement, image quality restoration, AI traceless removal (including watermark removal), and AI filters. At the same time, it integrates face and human body technologies, such as face attribute analysis, key point detection and segmentation capabilities, which is convenient for quick access to retouching, marketing, and content production processes.
Xiaomi MiMo API Open Platform is an intelligent service interface platform for developers, providing stable and easy-to-use Xiaomi MiMo API and developer toolset. Standardized AI conversation APIs, authentication and key management, call monitoring and usage statistics, error logs and alarms help teams quickly integrate intelligent assistants in applications, websites, mini programs, and IoT devices. The platform emphasizes high availability, high concurrency, and security compliance, and supports on-demand expansion and version management, making it easy to iteratively launch in different business scenarios. With the Xiaomi MiMo API Open Platform, enterprises and individuals can implement AI applications more efficiently, shorten the R&D cycle, and optimize the experience.
ZenMux is an LLM gateway and unified API platform for developers, emphasizing "paying for results, not illusions." ZenMux aggregates the world's mainstream large models through OpenAI-compatible APIs, providing model routing, low-latency calling, automatic fallback, and global node acceleration, allowing AI programming teams to quickly access and stably launch them. The platform has built-in LLM insurance and hallucination detection, and can easily compensate for bad outputs, reducing production risks and costs. ZenMux also provides detailed request logs, real-time monitoring, cost tracking, and privacy configuration, making it suitable for enterprise-grade AI programming and application development scenarios that require high availability, cost-effectiveness, and compliance.
302.AI is a pay-as-you-go AI resource platform for enterprises, providing multimodal models and unified APIs to support online applications and cross-platform clients. It integrates mainstream and open-source models, covering business scenarios such as AI chat, AI writing, AI drawing, AI video, and AI audio, eliminating the need for multi-vendor docking and decentralized key management. One-stop calling, unified billing, and permission control to meet the team's multi-environment needs from prototype to production. The platform provides visualization tools and ready-to-use intelligent robots, supports custom model access and privatization deployment, taking into account performance and data security. At the same time, it provides comprehensive Chinese documentation and technical support to help small and medium-sized enterprises, educational institutions, and developers quickly implement AI office automation and intelligent content production.
The Zero One Everything Open Platform provides developers and enterprises with Yi series of large language model API services, supporting natural language dialogue, text generation, code generation, tool calls and function calling, streaming output, and ultra-long context processing. The platform provides API key management, usage and billing queries, SDKs, and access documentation, making it easy to quickly integrate large model capabilities into applications, realizing various scenarios such as intelligent customer service, knowledge Q&A, automated office, data analysis, and AI programming, and helping to efficiently build and deploy enterprise-level artificial intelligence solutions.
The 360 Smart Brain Open Platform is the artificial intelligence access and management center for enterprises and developers, providing API services for the 360 Smart Brain large language model and multimodal model, supporting dialogue generation, text generation, code generation, tool call and function calling, long context and multi-round dialogue, RAG retrieval enhancement, knowledge base management and vector retrieval, streaming output and concurrency control. The platform has a built-in console, API key and usage billing, SDK and documentation, which is convenient for quickly completing AI programming integration, building scenarios such as intelligent customer service, enterprise knowledge Q&A, automated office and data analysis, and helping enterprise-level AI applications land and operate on a large scale.
Moonshot Platform is Moonshot AI's official API platform for developers, providing access to Kimi series large models, interfaces compatible with OpenAI, and supports dialogue generation, text generation, code generation, tool calls and function calling, streaming output, and ultra-long context processing. The console can apply for API keys, view usage and model pricing, and cooperate with SDK and vector retrieval to build RAG retrieval-enhanced applications, intelligent customer service, knowledge Q&A, and automated office scenarios, accelerating the implementation of AI programming and enterprise-level applications.
DeepSeek Platform is an official API open platform that provides access to large models such as DeepSeek-V3 and DeepSeek-R1, and the interface is compatible with OpenAI, supporting function calling, streaming output, and inference process display. Developers can apply for API keys, view usage and model pricing in the console, and quickly integrate multilingual conversations, text generation, code generation, retrieval enhancement, tool calls, and AI programming, making it suitable for building intelligent customer service, knowledge answering, automated office automation, and enterprise applications.
The Baichuan large model open platform provides unified access for enterprises and developers, integrates Baichuan4-Turbo, Baichuan4-Air and industry models (such as Baichuan4-Finance), and supports multi-modal dialogue, text generation, knowledge base Q&A, AI programming, retrieval and augmented generation, function calls and tool calls, web search and other capabilities; It provides Assistants API, SDK, console API key management, usage billing and monitoring, is compatible with OpenAI API, supports privatization and cloud deployment, and helps customer service, content production, and office automation to quickly implement.
The Zidong Taichu large model open service platform was launched by Wuhan Institute of Artificial Intelligence, positioned as a multi-modal intelligent agent building platform for enterprises, integrating training and push integration and intelligent computing cloud services. The platform supports tasks such as text generation, image understanding and image generation, video understanding, 3D understanding, and signal analysis, provides multi-round dialogue, knowledge base Q&A, workflow orchestration, and low-code integration, supports API access and privatization deployment, and can flexibly schedule GPU computing power on demand, helping to quickly implement multimodal artificial intelligence capabilities in scenarios such as customer service, content creation, quality inspection analysis, and office automation.
Based on the SenseNova V6 multimodal base model, it integrates AI chat, AI drawing, real-time voice image understanding, code generation and other capabilities, and provides one-stop access to web experience, SDK and API. The platform supports privatization deployment, flexible computing power, pay-as-you-go billing, multilingual dialogue, enterprise knowledge base access, and security compliance guarantees, helping to quickly implement scenarios such as intelligent customer service, creative design, smart office, and education and counseling, and significantly lowering the threshold for artificial intelligence application development.
The MiniMax API platform is a multi-modal large model development platform launched by MiniMax, which supports multiple input and output modes such as text, speech, images, and videos, and the core models include MiniMax-M1, MiniMax-Text-01, and MiniMax-VL-01, using the MoE architecture, and the inference context window supports up to 4 million tokens. The platform is compatible with OpenAI API standards, provides Python SDK, Function Call, MCP interface, knowledge base enhancement (RAG), and plug-in calling capabilities, and supports agent visualization construction and multi-round task process management. Developers can build complex AI applications such as intelligent customer service, AI video generation, code writing, and content creation through the platform, with the advantages of high performance, low latency, and multilingual support, making them suitable for enterprise-level deployment and innovative application scenarios.
The Tiangong Model Open Platform is a state-of-the-art generative AI service platform launched by Kunlun Wanwei, with the core model being the AGI Sky-Chat series, which supports natural language processing, code generation, search enhancement, image understanding, and agent construction. The platform opens the AGI Sky-Chat-2.0 and 3.0 model APIs, with advanced functions such as function call, plug-in access, RAG retrieval enhancement, and knowledge base management. Users can build custom agents through the zero-code interface, integrate search engines to achieve accurate information recall, and support multiple rounds of dialogue and system calls in combination with process orchestration. The platform is widely used in scenarios such as intelligent Q&A, content generation, office automation, customer service systems, and programming assistance, making it an efficient solution for enterprises and developers to deploy domestic AI capabilities.
iFLYTEK Spark Spark Large Model API is a cognitive intelligence large model service platform launched by iFLYTEK, integrating multiple versions such as Spark Lite, Pro, Pro-128K, Max, Max-32K and 4.0 Ultra, and supporting multi-modal input capabilities such as text, images, and voice. Some versions, such as Spark Max and 4.0 Ultra, support advanced capabilities such as network search, Function Call calls, and return retrieval source information. The model has features such as high-performance streaming output, multi-round dialogue, document interpretation, image parsing, and agent dialogue, and supports zero-code integration and compatible calls with OpenAI interfaces. The platform also supports capabilities such as model fine-tuning, security auditing, plug-in integration, knowledge base enhancement (RAG), and context management, making it convenient to build various AI application scenarios such as intelligent customer service, office assistants, data analysis, content generation, and code assistants. Each developer will receive about 2 million tokens for free, which is suitable for experimentation and commercial exploration.
Doubao Model is a generative AI platform launched by ByteDance's Volcano Engine, providing multi-modal models such as the Doubao-1.6 series, SeedEdit graphic editing model, and Seedance video generation model, which support text generation, image recognition, video understanding, speech recognition, and code generation. The platform has a context window of up to 256K tokens and a latency as low as 10ms, making it suitable for high concurrency and large model inference needs. It supports agent construction, RAG retrieval enhancement, knowledge base management, plug-in integration, and process orchestration, and provides zero-code application building capabilities. Developers can use the platform for model fine-tuning and API management, suitable for building intelligent office, automated Q&A, content creation, data analysis, and multimodal AI solutions. The bean bag model has been widely used in finance, education, manufacturing, cultural tourism and other industries, with the advantages of high performance, low cost, safety and compliance.
The Zhipu Large Model Open Platform is a unified large model service platform launched by Zhipu AI, which provides standardized calling capabilities for domestic general-purpose large models such as GLM-4 and GLM-4.1V, and supports multi-modal input, graphic understanding, image generation, audio and video processing and other functions. The platform has advanced capabilities such as knowledge base Q&A, network search, structured data extraction, code function calling, and plug-in integration, and developers can build agents with zero code through the visual process to support private data embedding and reasoning enhancement. The API interface is compatible with mainstream call methods, supports SDKs such as Python, and can perform model fine-tuning, agent deployment, call monitoring, and permission management. The Zhipu platform is widely used in scenarios such as intelligent customer service, enterprise search, office automation, report generation, and code-assisted development, helping enterprises and individuals quickly build an independent, controllable, safe and efficient AI application system.
Alibaba Cloud Bailian is a one-stop large model service platform for enterprises and developers, supporting access to mainstream models such as Tongyi Qianwen series, DeepSeek, and Kimi, and is compatible with OpenAI API calling methods for rapid integration. The platform provides key functions such as model fine-tuning, knowledge base Q&A, agent creation, plug-in integration, RAG retrieval enhancement, and contextual memory management, and supports visual construction and multi-model hybrid calling. Developers can access through Python and Java SDKs to call models for tasks such as text generation, image processing, code generation, and search Q&A. Bailian's built-in security mechanisms, including data encryption, permission control, and AI content governance, are suitable for building AI applications such as intelligent customer service, office assistants, search engines, and content production, and support privatization deployment and enterprise-level operations.
Baidu Intelligent Cloud Qianfan Large Model Platform is a one-stop generative AI platform for enterprise developers, integrating Wenxin large model (ERNIE-Bot) with third-party open source models (such as Llama, DeepSeek, Mistral, etc.) to provide a rich model call and development tool chain. The platform supports model customization fine-tuning (SFT), model deployment cloud services, data management, version management, and automated inference deployment. Developers can use AppBuilder to quickly create applications and configure model management and inference services through ModelBuilder. The platform has built-in content security and model security mechanisms, and presets rich prompt templates and application paradigms, which can significantly improve the efficiency of enterprises in building intelligent customer service, document processing, intelligent search, analysis assistants, and other scenarios. At the same time, the Qianfan platform also provides an AI-native application store, allowing developers to quickly launch various vertical scenario applications and carry out commercial operations
OpenRouter is a multi-model unified access platform that allows developers to access over 400 large language models from over 60 model providers, including GPT-4, Claude, Gemini, Llama, Mistral, DeepSeek, and more, through a single API. The platform is compatible with OpenAI API calls, supports multilingual SDK access, and can configure custom calls with model keys. Developers can flexibly call different models based on the points billing system, and manage quotas, usage logs, and call monitoring in a unified manner. OpenRouter provides automatic routing, model degradation mechanisms, dynamic load balancing, and other capabilities, making it suitable for building highly available, cross-model intelligent agents, AI tools, task processing systems, and other application scenarios, reducing development complexity and improving system elasticity and scalability.
Amazon Bedrock is a fully managed generative AI platform provided by AWS, providing unified access to foundation models from multiple leading model providers such as Anthropic, Meta, Mistral, AI21 Labs, DeepSeek, TwelveLabs, Writer, and Amazon's self-developed model providers through a single API. The platform supports key capabilities such as Custom Model Import, Knowledge Bases, Agents, Data Automation, Model Evaluation, and Guardrails. Developers can use architectural models such as Flan-T5, Llama, and Mistral as private APIs using the custom model import feature; The knowledge base capability supports simultaneous processing of structured data (automatic SQL generation), unstructured and multimodal content (images, documents, audio and video), and supports GraphRAG querying graph relational data, as well as automatic prompt routing and long process execution. Bedrock Agents allows for the construction of multi-step task agents that can access enterprise systems and interface with Lambda. Guardrails supports content filtering and cross-region deployment policies. The platform services are expanded across multiple AWS regions, including APAC and Europe regions, and new models such as Claude 3.7 Sonnet, Claude Opus 4, Llama 4 Maverick, DeepSeek-R1, etc. are continuously added. Amazon Nova Canvas' image generation, virtual try-on, and more capabilities are also available through the Bedrock API. The platform is suitable for building enterprise-level AI office assistants, intelligent search, automated Q&A systems, document processing, media analysis, code generation, and proxy applications, and greatly reduces the complexity of generative AI application development and operation through security compliance mechanisms and serverless architecture.
Google Gemini API is the latest generation of Google DeepMind's multimodal large language model interface, through which developers can call Gemini 2.0 Flash, 2.5 Pro, Gemma open source models, etc. Gemini provides multimodal input for text, images, audio, and even video, supporting up to a million token context windows, making it suitable for complex reasoning, code generation, and interactive agent scenarios. Google AI Studio is the official online IDE that helps developers quickly prototype through prompt design, parameter tuning, and the ability to export code or migrate to Vertex AI for production deployment. The platform also integrates model services such as Imagen (text-to-image), Veo (text-to-video), and Lyria (text-audio), providing open-source Gemma models for lightweight deployment and rapid experimentation. Google AI Edge enables model deployment to Android, iOS, web, or embedded devices for cross-platform low-latency inference with tools like LiteRT, MediaPipe, and more. The platform also includes a Responsible GenAI Toolkit to guide model design and compliance deployment. AI for Developers provides developers with one-stop generative AI capabilities from prototyping to commercial deployment.
OpenAI Platform is a developer platform provided by OpenAI that supports building AI applications using the latest GPT series models through APIs. The platform currently offers a variety of models, including GPT-4.1 (Ultimate Edition), which focuses on general intelligence and multimodal capabilities, and its lightweight versions GPT-4.1 mini and nano; O3 series models for strong reasoning and scientific tasks (including O3, O3-Mini, O3-Pro); and the cost-effective, inference-oriented O4-mini series. Developers can choose different models according to their needs - for example, GPT-4.1 is suitable for multimedia input and dialogue scenarios, and the o3 series is more suitable for complex reasoning tasks such as code generation, mathematical and scientific problem solving, etc. The platform supports SDKs such as Python and Node.js, and has a million-token context window, suitable for AI office assistants, intelligent search, data analysis, code assistants, and other scenarios. The platform emphasizes security, compliance, and stability, managing functions such as API keys, quotas, access rights, and logging through the console.
Anthropic API (Claude API) is a set of developer-friendly AI interface platforms provided by Anthropic that allow developers to programmatically access high-performance language models, including Claude 4 Opus and Claude 4 Sonnet. The API supports Web Search, Model Context Protocol (MCP) connectors, file storage APIs, and code execution tools, allowing developers to build autonomous AI agents to complete complex workflows such as data analysis, document generation, and programming tasks. MCP connectors integrate tools like Google Workspace, Slack, GitHub, Stripe, and more to enable seamless AI interaction with existing systems. The Code Execution tool allows Claude to run Python code in a sandbox environment to generate visual analysis results. The Anthropic API provides a multilingual SDK (including Python, TypeScript, C#, Java) with a highly scalable and pay-as-you-go billing model, and allows developers to quickly try out, manage API keys, and usage permissions through Workbench in the Console. The API is widely suitable for building AI office assistants, programming assistants, intelligent search and analysis systems, and emphasizes the concepts of security and long-term alignment, employing constitutional AI principles to reduce harmful outputs, and is suitable for developers who need reliable, secure, and high-quality language intelligence.